Theory of ridge regression estimators with applications
A guide to the systematic analytical results for ridge, LASSO, preliminary test, and Stein-type estimators with applications Theory of Ridge Regression Estimation with Applications offers a comprehensive guide to the theory and methods of estimation. Ridge regression and LASSO are at the center of a...
| Otros Autores: | , , |
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| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Hoboken, New Jersey :
Wiley
2019.
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| Edición: | 1st edition |
| Colección: | Wiley series in probability and statistics
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| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009631851506719 |
Tabla de Contenidos:
- Introduction to ridge regression
- Location and simple linear models
- ANOVA model
- Seemingly unrelated simple linear models
- Multiple linear regression models
- Ridge regression in theory and applications
- Partially linear regression models
- Logistic regression model
- Regression models with autoregressive errors
- Rank-based shrinkage estimation
- High dimensional ridge regression
- Applications : neural networks and big data.
